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real estate tokenization case studies

Analyzed across ChatGPT, Perplexity & Google AIO
Analyzed 11/15/2025

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Brand Performance Across AI Platforms
All 16 brands referenced across AI platforms for this prompt
Fundshing
3
0
Sentiment:
Score:95
BrickMark
3
0
Sentiment:
Score:95
Liberty Real Estate Fund
2
0
Sentiment:
Score:75
4Seazen Group
2
0
Sentiment:
Score:75
5HM Land Registry
1
0
Sentiment:
Score:55
Referenced Domains Analysis
All 20 domains referenced across AI platforms for this prompt
ChatGPT
Perplexity
Google AIO
#1tokeny.com favicontokeny.com
ChatGPT:
0
Perplexity:
2
Google AIO:
0
2
#2ey.com faviconey.com
ChatGPT:
0
Perplexity:
1
Google AIO:
0
1
#3rwa.io faviconrwa.io
ChatGPT:
0
Perplexity:
1
Google AIO:
0
1
#4nyala.de faviconnyala.de
ChatGPT:
0
Perplexity:
1
Google AIO:
0
1
#5kaleido.io faviconkaleido.io
ChatGPT:
0
Perplexity:
1
Google AIO:
0
1

AI Search Engine Responses

Compare how different AI search engines respond to this query

ChatGPT

3575 Characters

BRAND (18)

精选行业Query
HM Land Registry
Elevated Returns
Liberty Real Estate Fund
Fundshing
BlocHome
Tokeny
RealT
BrickMark
Aspen Digital
SolidBlock
Red Swan
Brickblock
Smartlands
Harbor
Seazen Group
Liquefy
Blockimmo

SUMMARY

ChatGPT provides an educational overview of real estate tokenization, focusing on blockchain technology's role in converting property assets into digital tokens for fractional ownership. The response highlights a major case study of The Mayfair Hotel in London, a $600 million tokenization project facilitated by Liquefy in collaboration with Gulf family offices in 2019, positioning it as one of the largest single-asset real estate tokenizations demonstrating the feasibility of digitizing high-value properties for global investors.

Perplexity

3414 Characters

BRAND (18)

精选行业Query
HM Land Registry
Elevated Returns
Liberty Real Estate Fund
Fundshing
BlocHome
Tokeny
RealT
BrickMark
Aspen Digital
SolidBlock
Red Swan
Brickblock
Smartlands
Harbor
Seazen Group
Liquefy
Blockimmo

SUMMARY

Perplexity delivers a comprehensive analysis with multiple detailed case studies, including the St. Regis Aspen Resort tokenization by Aspen Digital that raised $18 million using Ethereum blockchain, and Red Swan's $2.2 billion commercial real estate tokenization across major US cities. The response emphasizes practical implementations, financial outcomes, and the impact on investor liquidity through secondary market trading of tokens, providing specific monetary figures and technical details.

Google AIO

0 Characters

BRAND (18)

精选行业Query
HM Land Registry
Elevated Returns
Liberty Real Estate Fund
Fundshing
BlocHome
Tokeny
RealT
BrickMark
Aspen Digital
SolidBlock
Red Swan
Brickblock
Smartlands
Harbor
Seazen Group
Liquefy
Blockimmo

SUMMARY

No summary available.

Strategic Insights & Recommendations

Dominant Brand

Liquefy, Aspen Digital, and Red Swan emerge as the most prominently featured tokenization platforms, with Liquefy handling the largest single-asset deal and Red Swan managing the highest total value.

Platform Gap

ChatGPT focuses on single high-value case studies with broader context, while Perplexity provides multiple detailed examples with specific financial metrics and technical implementation details.

Link Opportunity

Both platforms could benefit from linking to tokenization platform websites, regulatory frameworks, and detailed project documentation to support their case study claims.

Key Takeaways for This Prompt

Real estate tokenization has successfully handled projects ranging from $18 million to $2.2 billion, demonstrating scalability across different property values.

Luxury properties like hotels and resorts are leading the tokenization trend, with The Mayfair Hotel and St. Regis Aspen serving as flagship examples.

Blockchain platforms like Ethereum are the preferred technology infrastructure for implementing fractional ownership through security tokens.

The tokenization market shows strong geographic diversity, with successful implementations across the US, UK, and other international markets.

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